Cloud Engineer

• Design and implement solution architectures that satisfy client requirements, with a strong focus on AI-enabled and cloud-native applications
• Design AI-enabled workflows such as chatbots, search, summarization, and automation
• Leverage RAG (retrieval-augmented generation), agentic AI patterns, vector databases, and enterprise search in applied solutions
• Orchestrate multi-service AI solutions that combine LLMs, APIs, and cloud services
• Guide clients and teams through cloud modernization projects
• Understand data security and residency requirements
• Ensure solutions comply with security and regulatory standards while managing technical risks across architectures
• Support Services teams during delivery
• Build prototypes and participate in demos with clients
• Create solution diagrams and architectures for client decks to support pre-sales discussions
• Partner with clients in pre-sales support: participate in meetings, capture requirements, and collaborate with the sales lead
• Communicate architectural decisions clearly to both business and technical audiences
• Balance functional and non-functional requirements
• Support scoping and estimation for solutions across multiple industries
• Collaborate closely with technical leads, developers, designers, strategists, and project managers to deliver high-quality solutions
• Leverage Architech’s cloud and technology partners to strengthen solution proposals
• Work directly with mid-sized and enterprise clients
• Embrace and contribute to the achievement of Architech’s sustainability goals

AI and Cloud Architect

Senior Google Cloud Architect

Principal Cloud Engineer

Cloud Developer

Senior Manager – Cloud Infrastructure, AI Operations